SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 1351–1400 of 3874 papers

TitleStatusHype
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive NetworkCode0
Conditional Generation Using Polynomial ExpansionsCode0
Lightweight and Robust Representation of Economic Scales from Satellite ImageryCode0
Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian OperationsCode0
Learning to Super Resolve Intensity Images from EventsCode0
Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel RemovalCode0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid NetworksCode0
Evaluating Robustness of Deep Image Super-Resolution against Adversarial AttacksCode0
Learning Parallax Attention for Stereo Image Super-ResolutionCode0
Learning Series-Parallel Lookup Tables for Efficient Image Super-ResolutionCode0
Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural NetworksCode0
Learning of Patch-Based Smooth-Plus-Sparse Models for Image ReconstructionCode0
Multi-Objective Reinforced Evolution in Mobile Neural Architecture SearchCode0
Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live StreamingCode0
Arbitrary Scale Super-Resolution for Brain MRI ImagesCode0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution ForestsCode0
Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening FrameworkCode0
Light Field Super-resolution via Attention-Guided Fusion of Hybrid LensesCode0
Learning Likelihoods with Conditional Normalizing FlowsCode0
Learning Descriptor Networks for 3D Shape Synthesis and AnalysisCode0
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving TransformerCode0
Ensemble Super-Resolution with A Reference DatasetCode0
Learning a No-Reference Quality Metric for Single-Image Super-ResolutionCode0
Learning a Single Convolutional Super-Resolution Network for Multiple DegradationsCode0
Learning Accurate and Enriched Features for Stereo Image Super-ResolutionCode0
Component Attention Guided Face Super-Resolution Network: CAGFaceCode0
Enhancing Super-Resolution Networks through Realistic Thick-Slice CT SimulationCode0
3DSRnet: Video Super-resolution using 3D Convolutional Neural NetworksCode0
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-ResolutionCode0
COMISR: Compression-Informed Video Super-ResolutionCode0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution ImagingCode0
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model ApproachCode0
LatticeNet: Towards Lightweight Image Super-resolution with Lattice BlockCode0
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural NetworkCode0
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super ResolutionCode0
Combining Contrastive and Supervised Learning for Video Super-Resolution DetectionCode0
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task LearningCode0
CoPE: Conditional image generation using Polynomial ExpansionsCode0
Laplacian Pyramid-like AutoencoderCode0
Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-ResolutionCode0
Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-ResolutionCode0
LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled VariablesCode0
LAR-SR: A Local Autoregressive Model for Image Super-ResolutionCode0
Combination of Single and Multi-frame Image Super-resolution: An Analytical PerspectiveCode0
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-ResolversCode0
Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion ModelsCode0
EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified